21 Session 12: The Exit Boundary \(L^*(t)\) — Numerical Examples
| Unit | 3 — Decision and Application |
| Book Chapter | 6 (sections 6.5–6.7) |
| Track | Common core (both tracks) |
21.1 Learning Objectives
By the end of this session, students will be able to:
- Read an exit boundary \(L^*(t)\) chart and identify the hold region vs. exit region.
- Explain why \(L^*(t)\) rises as \(t \to T\) (the boundary terminal-time effect).
- Compute the optimal exit decision for a given (current \(L\), remaining \(T\)) pair using the calibrated boundary.
- Identify how the exit boundary differs across asset classes (PE buyout vs. infrastructure vs. private credit).
- Apply the exit boundary to one of the major historical episodes (GFC 2009, COVID 2020) and identify what GE-LAV would have recommended.
21.2 Pre-Class Assignment
- Read: Book Chapter 6, sections 6.5–6.7 (~8 pages)
- Try: Sketch on paper what you think the exit boundary looks like — does \(L^*\) rise or fall as \(t\) increases? Why?
21.3 In-Class Outline (75 minutes)
| Time | Segment | Format |
|---|---|---|
| 0:00–0:10 | Recap Session 11 · Set up today’s numerical work | Lecture |
| 0:10–0:25 | The exit boundary chart — reading the figure | Lecture |
| 0:25–0:40 | Why \(L^*(t)\) has the shape it does | Lecture + chart deep-dive |
| 0:40–0:55 | Sensitivity to OU parameters and asset class | Lecture |
| 0:55–1:10 | Historical application: GFC, COVID, rate shock | Case + discussion |
| 1:10–1:15 | Worked example: should this LP exit? | Live problem |
21.4 Discussion Questions
- CalPERS publicly disclosed 2009 PE secondary sales at 25% discount. Using the exit boundary chart, would GE-LAV have recommended this sale? What information beyond the chart would CalPERS have needed?
- The exit boundary \(L^* \approx -0.5\) at 1-year horizon. Most fund extensions are 1-2 years. Does the boundary suggest fund extensions should be granted (hold) or refused (force exit)? Why?
- If your investment policy statement (IPS) says “no secondary sales except in distress,” is that consistent with GE-LAV-optimal behavior? When would it diverge?
21.5 Worked Numerical Example: Should This LP Exit?
Scenario: It is Q4 2024. An insurance company holds a 9-year-old infrastructure fund position. Reported NAV = $200M. Position has 4 years remaining until natural liquidation.
Current conditions: - Estimated \(L_t = -0.7\) (moderately stressed; secondary discounts around 18%) - Asset class: infrastructure - Remaining horizon: 4 years - Secondary market bid: 22% discount → $156M cash today - Solvency II capital charge if held: increases by ~3% of NAV - Solvency II capital charge if sold: decreases by ~5% of NAV (cash is treated favorably)
Step 1: What does the exit boundary say?
For infrastructure at 4 years remaining: \(L^* \approx -1.5\)
Current \(L_t = -0.7\) vs. \(L^* = -1.5\)
\(L_t > L^*\), so the GE-LAV recommendation is HOLD.
Step 2: But Solvency II is forcing pressure
The capital charge differential (3% + 5% = 8% effective swing) creates a regulatory wedge that GE-LAV doesn’t directly model. If the insurer would be capital-constrained by holding: - Hold cost: 8% of $200M = $16M of capital tied up - Sell cost: 22% discount = $44M of value sacrificed
Net: Selling sacrifices $44M − $16M = $28M of value vs. holding through.
Step 3: GE-LAV expected value of holding
Under OU dynamics, \(E[L_{t+4}] = \bar{L} + (L_t - \bar{L}) e^{-4\kappa} = 1.0 + (-0.7 - 1.0) e^{-1.8} = 1.0 + (-1.7)(0.165) = 0.72\)
The expected liquidity state in 4 years is +0.72, well above current. The Jensen bias for 4-year infrastructure: \(B(4) = 0.18\% \times 4 = 0.72\%\)
Expected hold value: \(\$200M \times (1 + 0.0072) \approx \$201.4M\), plus mean-reversion gain (state goes from −0.7 to +0.7 generates ~5–8% NAV uplift via lower discount rates).
Conclusion: Pure GE-LAV says hold. Hybrid view (GE-LAV + Solvency II): probably still hold, but the case is closer than a non-regulatory LP would face.
21.6 What to Expect Next Session
Session 13 covers liquidity traps and the historical performance of the GE-LAV exit rule across multiple episodes. We’ll examine:
- The 2008–2010 GFC in detail (the worst-case test of the framework)
- COVID 2020 (sharp shock, fast recovery — does GE-LAV handle this?)
- Rate shock 2022 (slow-burn vs. fast crisis)
- The Pigouvian exit tax (preview — full treatment Session 24)
Reading: Book Chapter 6, sections 6.7–6.10 (~10 pages).